| Name
Contacts | Kushnazarov Farruh
法如赫 173-2116-0407 k.farruh@bk.ru | |
|
| Major | Mathematical modeling, numerical methods and computer program | ||
| Education | Ph.D. from St.Petersburg National Alexander I Emperor Transportation University | ||
| Languages | English | Russian | Chinese |
| Excellent | Native speaker | HSK2 (elementary) | |
CNR performs reading and identification of ISO 6346 container codes, in logistic ports and handling cranes. The intelligent system allows us to manage several lanes from a single post and perform access control and efficient recognition, not only of the containers but also of the trucks in charge of their transportation. CNR is based on technologies deep learning, optical character recognition.
Based on these five stages, appropriate projects to increase and retain customers.
The customer lifecycle includes 5 below stages:
| No | Goals | Data Sources | Methods | Results |
|---|---|---|---|---|
| 1 | Rank leads and save time for sales team | Information from browser of customers | Markov chain Decision tree | Saved time of sales person by 23% |
| 2 | Increase turnover rate | Media information | Increased turnover rate to 25% | |
| 3 | Detect created leads by robots | Session page information | Decreased marketing expenses by 14% |
I worked for Domus Sapiens and a programmer/data analytic/project manager. Did the design and programming job of the smart systems in the intelligent building, and one individual completes a complete set of processes. The smart buildings/city I’ve done a dozen large and small, concentrated in Moscow and St Petersburg. One of the most famous and complex cases is the development of an intelligent system in Moscow Smart Lighting Projects.